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Perspectives on Politics
Article . 2019 . Peer-reviewed
License: Cambridge Core User Agreement
Data sources: Crossref
SSRN Electronic Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
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An Adversarial Ethics of Campaigns and Elections

Authors: Bagg, S; Tranvik, I;

An Adversarial Ethics of Campaigns and Elections

Abstract

Existing approaches to campaign ethics fail to adequately account for the “arms races” incited by competitive incentives in the absence of effective sanctions for destructive behaviors. By recommending scrupulous devotion to unenforceable norms of honesty, these approaches require ethical candidates either to quit or lose. To better understand the complex dilemmas faced by candidates, therefore, we turn first to the tradition of “adversarial ethics,” which aims to enable ethical participants to compete while preventing the most destructive excesses of competition. As we demonstrate, however, elections present even more difficult challenges than other adversarial contexts, because no centralized regulation is available to halt potential arms races. Turning next to recent scholarship on populism and partisanship, we articulate an alternative framework for campaign ethics, which allows candidates greater room to maneuver in their appeals to democratic populations while nevertheless requiring adherence to norms of social and political pluralism.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
bronze
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